Transformations of the spatial activity manifold convey aversive information in CA3

A Albert Miguel-López (Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research) N Negar Nikbahkt (Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research) C Carlos Wert-Carvajal (Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research) L Lena Johanna Gschossmann (Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research) M Martin Pofahl (Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research) H Heinz Beck (Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research) T Tatjana Tchumatchenko (Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research)

Abstract

Hippocampal circuits form cognitive maps that represent spatial position and integrate contextual information, including affective cues, into episodic memory representations. We investigated how spatial and affective information are combined in the population activity of CA3 axons by analyzing the activity of intermediate-to-dorsal and dorsal-to-dorsal axons in mice navigating a linear track before, during, and after exposure to an aversive air puff stimulus. Both axonal populations maintained a robust, time-invariant activity manifold that encoded spatial information independent of affective context. Deformations of this common manifold encoded the presence of the aversive stimulus without disrupting the spatial representation. Despite differences in spatial coding, both axonal populations encoded affective information with similar efficacy. This population-level encoding was distributed similarly across place and nonplace cells. Our findings demonstrate that hippocampal CA3 axons integrate spatial and affective information within a common representational geometry while maintaining the separability of each information type.

Article Details

Volume / Issue Vol. 123, Issue 24
Published June 16, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (7)

A

Albert Miguel-López

Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research

N

Negar Nikbahkt

Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research

C

Carlos Wert-Carvajal

Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research

L

Lena Johanna Gschossmann

Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research

M

Martin Pofahl

Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research

H

Heinz Beck

Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research

T

Tatjana Tchumatchenko

Universität Bonn, Universitätsk-linikum Bonn, Institute for Experimental Epileptology and Cognition Research